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Deleterious ABCA7 mutations and transcript rescue mechanisms in early onset Alzheimer’s disease

Overview of attention for article published in Acta Neuropathologica, April 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 news outlet
policy
1 policy source
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12 X users

Citations

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57 Dimensions

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172 Mendeley
Title
Deleterious ABCA7 mutations and transcript rescue mechanisms in early onset Alzheimer’s disease
Published in
Acta Neuropathologica, April 2017
DOI 10.1007/s00401-017-1714-x
Pubmed ID
Authors

Arne De Roeck, Tobi Van den Bossche, Julie van der Zee, Jan Verheijen, Wouter De Coster, Jasper Van Dongen, Lubina Dillen, Yalda Baradaran-Heravi, Bavo Heeman, Raquel Sanchez-Valle, Albert Lladó, Benedetta Nacmias, Sandro Sorbi, Ellen Gelpi, Oriol Grau-Rivera, Estrella Gómez-Tortosa, Pau Pastor, Sara Ortega-Cubero, Maria A. Pastor, Caroline Graff, Håkan Thonberg, Luisa Benussi, Roberta Ghidoni, Giuliano Binetti, Alexandre de Mendonça, Madalena Martins, Barbara Borroni, Alessandro Padovani, Maria Rosário Almeida, Isabel Santana, Janine Diehl-Schmid, Panagiotis Alexopoulos, Jordi Clarimon, Alberto Lleó, Juan Fortea, Magda Tsolaki, Maria Koutroumani, Radoslav Matěj, Zdenek Rohan, Peter De Deyn, Sebastiaan Engelborghs, Patrick Cras, Christine Van Broeckhoven, Kristel Sleegers, On behalf of the European Early-Onset Dementia (EU EOD) consortium

Abstract

Premature termination codon (PTC) mutations in the ATP-Binding Cassette, Sub-Family A, Member 7 gene (ABCA7) have recently been identified as intermediate-to-high penetrant risk factor for late-onset Alzheimer's disease (LOAD). High variability, however, is observed in downstream ABCA7 mRNA and protein expression, disease penetrance, and onset age, indicative of unknown modifying factors. Here, we investigated the prevalence and disease penetrance of ABCA7 PTC mutations in a large early onset AD (EOAD)-control cohort, and examined the effect on transcript level with comprehensive third-generation long-read sequencing. We characterized the ABCA7 coding sequence with next-generation sequencing in 928 EOAD patients and 980 matched control individuals. With MetaSKAT rare variant association analysis, we observed a fivefold enrichment (p = 0.0004) of PTC mutations in EOAD patients (3%) versus controls (0.6%). Ten novel PTC mutations were only observed in patients, and PTC mutation carriers in general had an increased familial AD load. In addition, we observed nominal risk reducing trends for three common coding variants. Seven PTC mutations were further analyzed using targeted long-read cDNA sequencing on an Oxford Nanopore MinION platform. PTC-containing transcripts for each investigated PTC mutation were observed at varying proportion (5-41% of the total read count), implying incomplete nonsense-mediated mRNA decay (NMD). Furthermore, we distinguished and phased several previously unknown alternative splicing events (up to 30% of transcripts). In conjunction with PTC mutations, several of these novel ABCA7 isoforms have the potential to rescue deleterious PTC effects. In conclusion, ABCA7 PTC mutations play a substantial role in EOAD, warranting genetic screening of ABCA7 in genetically unexplained patients. Long-read cDNA sequencing revealed both varying degrees of NMD and transcript-modifying events, which may influence ABCA7 dosage, disease severity, and may create opportunities for therapeutic interventions in AD.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 20%
Student > Ph. D. Student 29 17%
Student > Master 18 10%
Student > Bachelor 13 8%
Student > Doctoral Student 10 6%
Other 29 17%
Unknown 39 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 21%
Neuroscience 28 16%
Agricultural and Biological Sciences 18 10%
Medicine and Dentistry 17 10%
Psychology 4 2%
Other 20 12%
Unknown 49 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 July 2017.
All research outputs
#1,849,841
of 25,116,143 outputs
Outputs from Acta Neuropathologica
#393
of 2,519 outputs
Outputs of similar age
#34,624
of 315,462 outputs
Outputs of similar age from Acta Neuropathologica
#9
of 35 outputs
Altmetric has tracked 25,116,143 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,519 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,462 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.